TOTAL_FEATURE_NUM = 38;
wake_feature = load('scale_wake', '-ascii');
n1_feature = load('scale_n1', '-ascii');
n2_feature = load('scale_n2', '-ascii');
n3_n4_feature = load('scale_n3', '-ascii');
r_feature = load('scale_r', '-ascii');
% train_wake_num  = 800;
% train_n1_num = 400;
% train_n2_num = 1000;
% train_n3_n4_num = 600;
% train_rem_num = 800;
% TOTAL_FEATURE_NUM = 38;
% wake_feature = wake_feature(randperm(length(wake_feature)), 1:1:TOTAL_FEATURE_NUM);
% n1_feature = n1_feature(randperm(length(n1_feature)), 1:1:TOTAL_FEATURE_NUM);
% n2_feature = n2_feature(randperm(length(n2_feature)), 1:1:TOTAL_FEATURE_NUM);
% n3_n4_feature = n3_n4_feature(randperm(length(n3_n4_feature)), 1:1:TOTAL_FEATURE_NUM);
% r_feature = r_feature(randperm(length(r_feature)), 1:1:TOTAL_FEATURE_NUM);

% wake_feature = wake_feature(1 : train_wake_num, :);
% n1_feature = n1_feature(1 : train_n1_num, :);
% n2_feature = n2_feature(1 : train_n2_num, :);
% n3_n4_feature = n3_n4_feature(1 : train_n3_n4_num, :);
% r_feature = r_feature(1 : train_rem_num, :);   

 C = {wake_feature, n1_feature, n2_feature, n3_n4_feature, r_feature};
%C = {n1_feature, n2_feature}
F_Score(C)